@InProceedings{ouyang-chang-mckeown:2017:EACLshort,
  author    = {Ouyang, Jessica  and  Chang, Serina  and  McKeown, Kathy},
  title     = {Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {46--51},
  abstract  = {We present an iterative annotation process for producing aligned, parallel
	corpora of abstractive and extractive summaries for narrative. Our approach
	uses a combination of trained annotators and crowd-sourcing, allowing us to
	elicit human-generated summaries and alignments quickly and at low cost. We use
	crowd-sourcing to annotate aligned phrases with the text-to-text generation
	techniques needed to transform each phrase into the other. We apply this
	process to a corpus of 476 personal narratives, which we make available on the
	Web.},
  url       = {http://www.aclweb.org/anthology/E17-2008}
}